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CreatmanCEO/claude-code-antiregression-setup

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Stop Claude Code from breaking your projects. Ready-to-use CLAUDE.md templates, subagents, hooks, and anti-regression configs.

11 3Push 1mo agoListed 11d ago1 open issueMIT
agentic-codingai-coding-assistantai-toolsanthropicantigravity-ideclaude-codeclaude-code-configclaude-md
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1 Review

This repo has a clear, practical niche: it packages the “don’t let the coding agent quietly break the project” workflow into files someone can copy immediately, rather than leaving it as advice scattered across blog posts. The README is unusually strong for a small config/template project: it explains the problem, shows the four-layer model with CLAUDE.md, scoped rules, subagents, and hooks, then gives a concrete 15-minute setup path. I also like that it includes .claude/settings.json, planner/tester/reviewer agent definitions, workflow docs, MCP setup notes, a changelog, MIT license, and a contributing guide instead of just a single prompt file.

The most useful part is the hard commit gate. Blocking git commit when tests fail is a simple idea, but it turns the repo from “prompt engineering” into an enforceable workflow. The limitations section is another good sign: it calls out shell portability, slow test suites, hook scope, and the fact that rules are advisory unless paired with linters or CI. That honesty makes the project easier to trust.

The main thing I would improve is confidence for adopters. The README mentions CI validation, but there are no releases yet, and the project is still small by community signals: 11 stars, 3 forks, 13 commits, 1 open issue, and no PRs at the time I checked. A tagged v0.2.0 release matching the changelog would make it feel more installable. I’d also add a tiny demo project or fixture that proves the hook blocks a failing commit across macOS/Linux/Git Bash, plus a PowerShell-compatible example since Windows users are explicitly warned they may need changes. The .claude/settings.json also allows broad commands like pip install*; the README explains the tradeoff, but a stricter “secure default” variant would be valuable for teams or anyone using untrusted repos.

Overall, this is a focused and genuinely useful developer-workflow repo. It stands out because it treats AI coding regressions as a process and automation problem, not just a better-prompt problem. With versioned releases, a tested demo fixture, and a couple more language-specific rule packs, it could become a handy starter kit for teams adopting Claude Code more seriously.